The use of Carbon Fiber Reinforced Polymers (CFRP) has tremendously increased in the last decades due to their exceptional combination of reduced density and high mechanical strength, that makes them ideal in many advanced structural applications. Assessing damage evolution in CFRP is a very important task being, at the same time, very complicated due to the complex mechanical response of the composites. The acoustic emission technique (AE) is a non-destructive technique based on the recording of sound waves generated inside the material as a consequence of the presence of active defects. Proper analysis of the recorded waves can be used for monitoring damage evolution in many materials including composites. The acoustic track associated with the entire loading history of the sample or the structures is usually followed by using some descriptors such as the amplitude of the sound waves, the number of counts and so on. In this paper the acoustic emission in CFRP single lap shear joints will be monitored by using a multi-parameter approach based on the contemporary analysis of multiple features such as ASL, Initiation Frequency, Reverberation Frequency and so on to understand if a proper combination of them can be adopted for a more robust description of damage propagation in CFRP structures
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                    Multi-parameters approach for damage propagation analysis in Fiber Reinforced Polymer Composites
                
                                    
                
                
                    Published:
09 November 2020
by MDPI
in The 1st International Electronic Conference on Applied Sciences
session Acoustics and Vibrations
                
                                    
                
                
                    Abstract: 
                                    
                        Keywords: Acoustic Emission; CFRP, damage propagation
                    
                
                
                
                 
         
            


 
        
    
    
         
    
    
         
    
    
         
    
    
         
    
